Modeling variability in torso shape for chair and seat design

Matthew P. Reed, Matthew B. Parkinson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Anthropometric data are widely used in the design of chairs, seats, and other furniture intended for seated use. These data are valuable for determining the overall height, width, and depth of a chair, but contain little information about body shape that can be used to choose appropriate contours for backrests. A new method is presented for statistical modeling of three-dimensional torso shape for use in designing chairs and seats. Laser-scan data from a large-scale civilian anthropometric survey were extracted and analyzed using principal component analysis. Multivariate regression was applied to predict the average body shape as a function of overall anthropometric variables. For optimization applications, the statistical model can be exercised to ran-domly sample the space of torso shapes for automated virtual fitting trials. This approach also facilitates trade-off analyses and other the application of other design decision-making methods. Although seating is the specific example here, the method is generally applicable to other designing for human variability situations in which applicable body contour data are available.

Original languageEnglish (US)
Title of host publication2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
Pages562-570
Number of pages9
EditionPART A
StatePublished - Nov 23 2009
Event2008 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008 - New York City, NY, United States
Duration: Aug 3 2008Aug 6 2008

Publication series

Name2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
NumberPART A
Volume1

Other

Other2008 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
CountryUnited States
CityNew York City, NY
Period8/3/088/6/08

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

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  • Cite this

    Reed, M. P., & Parkinson, M. B. (2009). Modeling variability in torso shape for chair and seat design. In 2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008 (PART A ed., pp. 562-570). (2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008; Vol. 1, No. PART A).